Tuesday , March 18 2025

Two Sigma Internship – Data Quality Analyst

Website Two Sigma

Job Description:

Two Sigma is a financial sciences company, combining data analysis, invention, and rigorous inquiry to help solve the toughest challenges in investment management, insurance technology, securities, private equity, and venture capital.
Our team of scientists, technologists, and academics looks beyond the traditional to develop creative solutions to some of the world’s most complex economic problems.

Job Responsibilities:

  • Help drive continuous improvements to the team’s data quality procedures and a consistent approach to how data quality is measured, monitored and reported;
  • Collaborate with business partners, software engineers, and other data analysts to understand business needs and then design and develop reliable data pipelines that produce high quality datasets;
  • Create systematic, automated processes and tools that allow the team to scale and rapidly onboard new datasets;
  • Analyze and curate massive amounts of data for thousands of different tradable instruments, including stocks, bonds, futures, contracts, commodities, and more;
  • Support the day to day operations of Two Sigma by applying problem solving, pattern detection, and root cause analysis to a wide range of data issues in a fast paced environment;

Job Requirements:

  • While financial industry experience is a plus, we are open-minded in our search for critical thinkers who are passionate about technology and data.
  • Exposure to hands-on Python and SQL coding in the context of data pipelining in a professional environment.

Qualification & Experience:

  • A bachelor’s degree with a strong academic record, which includes university coursework in programming and computing systems
  • Prior experience with Jira, Bash, GIT desired.
  • 3+ years professional experience in an environment that prioritizes data quality

Job Details:

Company: Two Sigma

Vacancy Type: Full Time

Job Location: Houston, TX, US

Application Deadline: N/A

Apply Here

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